datmo.json

{
    "base_model_definition_id": null,
    "base_model_definition_owner_username": null,
    "base_model_definition_slug": null,
    "base_snapshot_id": null,
    "best_snapshot_id": null,
    "categories": "medical,big-data,numerical",
    "config_json": null,
    "created_at": "2017-06-07T12:37:02.852Z",
    "data_contract_id": null,
    "datmo_path": "shabazp/diabetes-classification",
    "datmo_remote_url": "https://datmo.com/shabazp/diabetes-classification",
    "description": "# Diabetes Classification with Scikit-Learn\r\n\r\nThis is an example of a Datmo model which uses a dataset of patient attributes and predicts the likelihood of a patient having diabetes\r\n\r\nYou can take a look at the Dataset details [here](http://scikit-learn.org/stable/datasets/index.html#datasets) \r\n\r\nCheck out the Snapshots tab for information on snapshots that were taken with various parameters. Search and filter them to find the best ones. \r\n\r\nClick on the \"Deploy\" button next to the relevant snapshot to create an API on the server the Agent is running on or use the deploy command in the CLI to deploy it as a RESTful API (microservice deployment coming soon :)",
    "env_meta": null,
    "flags": 1,
    "git_remote_url": "https://github.com/shabazpatel/datmo-example-diabetes-sklearn",
    "git_rev": null,
    "id": "gqn05sdb0zv8",
    "is_owner": true,
    "is_public": true,
    "model_family_id": "gqn05sdb0zv8",
    "name": "Diabetes Classification",
    "owner_email": "shabaz@datmo.io",
    "readme": null,
    "repo_created_at": "2017-06-07T13:18:46.000Z",
    "repo_forks_count": 7,
    "repo_language": "Python",
    "repo_provider": "github",
    "repo_size": 63,
    "repo_updated_at": "2017-08-17T01:02:02.000Z",
    "repo_watchers_count": 0,
    "slug": "diabetes-classification",
    "tags": null,
    "updated_at": "2017-10-05T18:57:47.359Z",
    "username": "shabazp"
}